Locating the iris : A first step to registration and identification
This paper presents a method for locating the iris borders in images of the cornea. It uses a combination of a priori information, statistics and active contours to both find the iris borders and assess its own success or failure. When applied to 107 images from 11 different people with varying eye...
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| Format: | Conference Paper |
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ACTA Press / IASTED
2003
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| Online Access: | http://hdl.handle.net/20.500.11937/21122 |
| _version_ | 1848750502016188416 |
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| author | Cooper, James |
| author_facet | Cooper, James |
| author_sort | Cooper, James |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a method for locating the iris borders in images of the cornea. It uses a combination of a priori information, statistics and active contours to both find the iris borders and assess its own success or failure. When applied to 107 images from 11 different people with varying eye colours including light blue and dark brown the algorithm reports 7 images for which it failed to find the borders, one of which was a false negative. In the other 100 images, the algorithm located the iris borders with average estimated errors of 5.0 pixels for the left iris-sclera border, 3.4 pixels for the right iris-sclera border and 2.1 pixels for the pupil-iris border. There were no false positive results. |
| first_indexed | 2025-11-14T07:37:51Z |
| format | Conference Paper |
| id | curtin-20.500.11937-21122 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:37:51Z |
| publishDate | 2003 |
| publisher | ACTA Press / IASTED |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-211222017-01-30T12:23:18Z Locating the iris : A first step to registration and identification Cooper, James circular active contour - iris - registration - identification This paper presents a method for locating the iris borders in images of the cornea. It uses a combination of a priori information, statistics and active contours to both find the iris borders and assess its own success or failure. When applied to 107 images from 11 different people with varying eye colours including light blue and dark brown the algorithm reports 7 images for which it failed to find the borders, one of which was a false negative. In the other 100 images, the algorithm located the iris borders with average estimated errors of 5.0 pixels for the left iris-sclera border, 3.4 pixels for the right iris-sclera border and 2.1 pixels for the pupil-iris border. There were no false positive results. 2003 Conference Paper http://hdl.handle.net/20.500.11937/21122 ACTA Press / IASTED fulltext |
| spellingShingle | circular active contour - iris - registration - identification Cooper, James Locating the iris : A first step to registration and identification |
| title | Locating the iris : A first step to registration and identification |
| title_full | Locating the iris : A first step to registration and identification |
| title_fullStr | Locating the iris : A first step to registration and identification |
| title_full_unstemmed | Locating the iris : A first step to registration and identification |
| title_short | Locating the iris : A first step to registration and identification |
| title_sort | locating the iris : a first step to registration and identification |
| topic | circular active contour - iris - registration - identification |
| url | http://hdl.handle.net/20.500.11937/21122 |